Methodological, theoretical, and practical aspects of building intelligent systems for mass estimation and forecasting of the market value of urban real estate based on the mathematical apparatus of artificial neural networks are described. The proposed intelligent technologies provide support for decision-making in real estate market management tasks based on scenario forecasting of market value, which contributes to the effective management of resources with a high level of validity. The results of the study are of practical and scientific significance for the effective management of the real estate market in countries with transition and developing economies. The monograph is aimed at specialists in the field of real estate Economics: economists, analysts, appraisers, developers, as well as teachers, graduate students and students of specialized educational institutions.

The publication was prepared with the support of the RFBR grant 19-010-00307

The monography is devoted to assessment of human resources department (HR department) in Russian and abroad. Results of the research are based not only on the analysis of Russian and international literature, but also on the results of the conducted empirical research. The main method of data collection is electronic questionnaire. The collected data was coded and analyzed in the SPSS software.

The research has both theoretical and practical implications. The developed methodology can be used not only in Russia, but also in other countries. In addition, practical recommendations about assessment of HR departments are given to HR heads and top managers in Russia.